panchiwalashivani/image_compression

image_compression

If you don’t have Numpy and Pillow installed, you can do so using the following command:

pip3 install pillow pip3 install numpy

You’ll get a screen like this

steps:

Image compression is done to reduce the cost of storage and transmission Steps

Open the file and read it

Get the pixel values in RGB format

Convert the tuples into one list

Round the pixel values to nearest 10

Regroup the pixel values into tuple of 3

Create a new image from the tuple list where each pixel value in tuple indicate R,G,B value E.g. (42,34,67) indicates R=42,G=34,B=67

Save the compressed image

#source code:

run this in any directory

add -v for verbose

get Pillow (fork of PIL) from

pip before running -->

pip install Pillow

import required libraries

import os

import sys

from PIL import Image

define a function for compressing an image

def compressMe(file, verbose = False):

# Get the path of the file 
filepath = os.path.join(os.getcwd(), 
						file) 

# open the image 
picture = Image.open(filepath) 

# Save the picture with desired quality 
# To change the quality of image, 
# set the quality variable at 
# your desired level, The more 
# the value of quality variable 
# and lesser the compression 
picture.save("Compressed_"+file, 
			"JPEG", 
			optimize = True, 
			quality = 10) 
return

Define a main function

def main():

verbose = False

# checks for verbose flag 
if (len(sys.argv)>1): 
	
	if (sys.argv[1].lower()=="-v"): 
		verbose = True
				
# finds current working dir 
cwd = os.getcwd() 

formats = ('.jpg', '.jpeg') 

# looping through all the files 
# in a current directory 
for file in os.listdir(cwd): 
	
	# If the file format is JPG or JPEG 
	if os.path.splitext(file)[1].lower() in formats: 
		print('compressing', file) 
		compressMe(file, verbose) 

print("Done") 

Driver code

if name == "main": main()

Folder Before Compression:

Command Line for executing Code:

PS: Please run code after getting into the directory

Folder after execution of Code: